Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images

Yong Yue, Mihai M. Croitoru, Akhil Bidani, Joseph B. Zwischenberger, John W. Clark

Research output: Contribution to journalArticlepeer-review

198 Scopus citations

Abstract

This paper introduces a novel nonlinear multiscale wavelet diffusion method for ultrasound speckle suppression and edge enhancement. This method is designed to utilize the favorable denoising properties of two frequently used techniques: the sparsity and multiresolution properties of the wavelet, and the iterative edge enhancement feature of nonlinear diffusion. With fully exploited knowledge of speckle image models, the edges of images are detected using normalized wavelet modulus. Relying on this feature, both the envelope-detected speckle image and the log-compressed ultrasonic image can be directly processed by the algorithm without need for additional preprocessing. Speckle is suppressed by employing the iterative multiscale diffusion on the wavelet coefficients. With a tuning diffusion threshold strategy, the proposed method can improve the image quality for both visualization and auto-segmentation applications. We validate our method using synthetic speckle images and real ultrasonic images. Performance improvement over other despeckling filters is quantified in terms of noise suppression and edge preservation indices.

Original languageEnglish
Pages (from-to)297-311
Number of pages15
JournalIEEE Transactions on Medical Imaging
Volume25
Issue number3
DOIs
StatePublished - Mar 2006

Bibliographical note

Funding Information:
Manuscript received Aug. 25, 2005; revised November 22, 2005. This work was supported in part by the Biomedical Engineering Center, University of Texas Medical Branch, Galveston, TX. Asterisk indicates corresponding author. Y. Yue is with Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005 USA (e-mail: yyue@rice.edu). M. M. Croitoru and A. Bidani are with University of Texas Medical School at Houston, Houston TX 77030 USA. J. B. Zwischenberger is with University of Texas Medical Branch, Galveston, TX 77555 USA. *J. W. Clark, Jr. is with Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005 USA (e-mail: jwc@rice.edu). Digital Object Identifier 10.1109/TMI.2005.862737

Keywords

  • Dyadic wavelet transform
  • Iterative denoising
  • Multiscale analysis
  • Nonlinear diffusion
  • Speckle suppression
  • Ultrasound imaging
  • Wavelet diffusion. © 2006 ieee

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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